Fauzi, Akhmad Bakhrul (2014) Perancangan Sistem Kontrol Pitch Angle Turbin Angin Skala Kecil Berbasis Imperialst Competitive Algorithm (ICA). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
2410100055-Undergraduate_Theses.pdf - Accepted Version Download (2MB) | Preview |
Preview |
Text
2410100055-paper.pdf - Accepted Version Download (565kB) | Preview |
Preview |
Text
2410100055-presentation.pdf - Presentation Download (1MB) | Preview |
Preview |
Text
2410100055-presentation-1.pdf - Presentation Download (961kB) | Preview |
Preview |
Text
2410100055-presentation-2.pdf - Accepted Version Download (469kB) | Preview |
Preview |
Text
2410100055-presentation-3.pdf - Accepted Version Download (606kB) | Preview |
Abstract
Sistem Konversi Energi Angin (SKEA) adalah salah satu energi
alternatif yang dikembangkan dari pemanfaatan energi angin. Turbin
angin skala kecil adalah SKEA atau turbin angin yang kapasitasnya
kurang dari 10 kW. Indonesia memiliki kecepatan angin yang berubahubah dan relatif rendah. Untuk mengatasi permasalahan tersebut
diperlukan sistem kontrol sudut pitch turbin angin. Pada penelitian ini
dirancang sebuah sistem kontrol sudut pitch turbin angin berbasis
Imperialist Competitive Algorithm (ICA). Sistem kontrol diharapkan
pada kecepatan angin yang bervariasi, dapat memberikan kecepatan
sudut rotor tetap stabil dan bekerja pada daerah optimal. ICA adalah
sebuah evolusiner algoritma baru untuk mengoptimasi sebuah sistem
yang diilhami dari kompetisi kekuasaan (Imperialist Competition).
Optimasi berbasis ICA untuk sistem kontrol yang dirancang
menggunakan ITAE (Integral Time Absolute Error) sebagai fungsi
objektif dalam penentuan parameter kontrol PID. Hasil penelitian
menujukkan kontrol PID berbasis ICA memberikan respon yang baik
untuk semua uji setpoint, dan pada uji setpoint 10 pps memberikan
hasil respon yang terbaik jika dibandingkan dengan setpoint yang lebih
tinggi. Dengan Kp, Ki, dan Kd berurutan 1.49, 3.13 dan 0.03
memberikan lonjakan maksimal (maximum overshoot) 11.30 % dengan
waktu turun (settling time) selama 1.85 detik dan secara kuantitatif nilai
ITAE selama 10 detik yaitu 0.42.
====================================================================================================
Wind Energy Conversion Systems (WECS) is one of the alternative
energy developed from wind energy utilization. Small-scale wind
turbine is wind turbine which have capacity less than 10 kW. Indonesia
has low wind speed that changes from time to time. To overcome this
problem the control system of wind turbine pitch angle is required. In
this study a control system of wind turbine pitch angle based on
Imperialist Competitive Algorithm (ICA) is designed. The control system
is expected that at varying wind speeds, it can provide rotor angular
velocity remains stable and works at optimum area. ICA is a novel
evolutionary algorithm to optimize a system inspired from competition
rule (Imperialist Competition). ICA-based optimization control system
is designed for use ITAE (Integral Time Absolute Error) as the objective
function in determining the PID control parameters. The results showed
that ICA-based PID control responds well to all setpoints tested, and
the test results for setpoint of 10 pps provides the best response when
compared others. For Kp, Ki, and Kd of 1.49, 3.13 and 0.03,
respectively, it provides maximum overshoot of 11.30% with settling
time of 1.85 seconds and ITAE value for 10 seconds is 0.42.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSF 629.836 Fau p 3100014056329 |
| Uncontrolled Keywords: | Imperialist Competitive Algorithm (ICA), SKEA, WECS |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ828 Wind turbines T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | - Davi Wah |
| Date Deposited: | 17 Feb 2020 07:36 |
| Last Modified: | 17 Feb 2020 07:36 |
| URI: | http://repository.its.ac.id/id/eprint/74743 |
Actions (login required)
 |
View Item |